584 skills · sorted by relevance
Organize Nexent test assets into a traceable chain from requirements and bugs to cases, scripts, and results. Review existing coverage, maintain execution settings, and generate a registry and Excel views for formal testing.
Clean category and numeric fields in structured data, compare groups with counts and cross-tabulations, and produce charts, Excel results, and a Markdown report. Export visuals as high-resolution PNG and SVG files for use in reports.
Extract selected ranges from Excel workbooks with multiple sheets, check missing values, and clean numeric data. Fit a straight trend line, save charts and CSV results, and convert larger tables to Parquet for subsequent analysis.
Inspect multi-sheet Excel files, use Parquet, a column-based file format, for larger datasets, and clean text before analysis. Produce category summaries, identify maximum values, and export formatted reports or scatter plots with fitted straight trend lines.
Clean Excel data, summarize groups, and examine relationships between numeric columns. Produce charts such as scatter plots with trend lines, calculate measures of fit and statistical significance, and export cleaned data and statistical summaries.
Create and edit spreadsheet files, clean messy tables, and convert tabular formats. Add formulas, formatting, and charts while following existing template styles, then recalculate formulas and check for errors before delivering the spreadsheet.
Add multiple blockchain wallets or exchange accounts to TRES Finance. Import wallet details from CSV, Excel, or plain text, check addresses and duplicates, review the proposed entries, and confirm before submitting them together.
Run empirical and causal analyses in Python with StatsPAI, from stating assumptions to estimating effects and checking how results change under alternative choices. Produce diagnostic figures, regression tables, and replication bundles for economics, public health, or machine learning studies.
Process PDF documents with Python libraries and command-line tools to extract text and tables, merge or split files, fill forms, and create documents. Examples also cover scanned text recognition and exporting tables to Excel.
Build Excel workbooks for buyouts financed with debt. Using a supplied or standard template, the skill connects funding, operating forecasts, debt repayment, and returns, calculating IRR, an annualized return measure, and MOIC, the investment multiple.
Turn CSV, Excel, or JSON data into a visual report page with key metrics, multiple charts, a data table, and written observations. The report uses supplied data and includes its source, reporting period, and methodology.
Apply corporate brand standards to PowerPoint, Excel, and PDF documents. The skill guides colors, fonts, layouts, logo placement, and writing style, with scripts for applying formatting and checking compliance.
Calculate financial ratios from company statements to assess profitability, ability to cover obligations, efficiency, and valuation. Results include explanations, comparisons across periods, available industry benchmarks, and a formatted Excel report.
Fill an existing investment banking PowerPoint template with data from Excel, CSV, and other source documents. The workflow maps content to slides, checks figures, formats tables and shapes, and reviews consistency across the finished presentation.
Build an Excel comparison of public companies using financial performance, valuation ratios, and statistical benchmarks. The spreadsheet includes formulas, source notes, medians, and quartiles to show how each company compares with its peers.
Create, inspect, and modify Word, Excel, and PowerPoint files using officecli, a command-line tool that does not require Office. Extract text, check formatting and structure, replace content, and add tables or charts.
Equip NanoClaw agents to convert attached office documents into Markdown locally using Firecrawl AnyDoc. Agents can read Word, PowerPoint, Excel, and text-based PDF files without uploading them to an external parsing service.
Turn supplied CSV, Excel, or JSON data into a visual report page with key metric cards, multiple charts, and a data table. Include the reporting period, data sources, written observations, and a collapsible explanation of the methods used.
Resume Python tasks after execute_code_sandbox errors or timeouts by saving the attempted code as a script and running it through run_shell. The workflow includes dependency checks, execution timeouts, and verification of generated files such as Excel reports.
Build answers and reports from provided reference files before searching the web. The workflow identifies attachments, extracts and checks relevant data, tries alternatives for unreadable Word files, and states sources and missing information.
Run Python through shell commands when sandbox execution fails because required packages are unavailable. The skill explains short commands, multiline scripts, package checks, and output verification, with examples for creating Excel and Word files.
Diagnose Python spreadsheet failures through staged checks of the interpreter, library imports, file access, and basic operations. Minimal test scripts help separate environment problems from errors in the full processing script.
Find key figures in tabular data using column names or row keywords, calculate category averages and percentages, and export the results as a structured Excel report and a pie chart.
Office Scripts (Excel Online / Microsoft 365) development expert skill. Covers platform limitations, ExcelScript API patterns, testing strategy (lib + Vitest), and 13 real-world bug patterns discovered during production development. Trigger words: Office Scripts, ExcelScript, Excel Online, Office Script development, TypeScript Excel, Excel automation, CalculateRequirements, ImportCsvData
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